June 9, 2024, 3:47 a.m. | Greg Postalian-Yrausquin

Towards AI - Medium pub.towardsai.net

This is a quick example to demonstrate the use of RNN to classify a set of tweets into positive or negative feedback. The idea is to give a quick high-level view of how recursive neural networks are trained for datasets that have a continuous internal structure, such as text.

In standard neural networks, each layer only depends on the layer immediately above it, which means that a network forms a linear structure which “forgets” the previous data. In recursive neural …

analysis basic continuous datasets example feedback machine learning negative network networks neural network neural networks positive pytorch recursive recursive-neural-networks rnn sentiment sentiment analysis set standard text tweets view

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